{"pageNumber":"655","pageRowStart":"16350","pageSize":"25","recordCount":46677,"records":[{"id":70006205,"text":"fs20113147 - 2011 - Historical streamflows of Double Mountain Fork of Brazos River and water-surface elevations of Lake Alan Henry, Garza County, Texas, water years 1962-2010","interactions":[],"lastModifiedDate":"2016-08-11T15:16:32","indexId":"fs20113147","displayToPublicDate":"2011-12-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3147","title":"Historical streamflows of Double Mountain Fork of Brazos River and water-surface elevations of Lake Alan Henry, Garza County, Texas, water years 1962-2010","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the City of Lubbock, Texas, operates two surface-water stations in Garza County, Tex.: USGS streamflow-gaging station 08079600 Double Mountain Fork Brazos River at Justiceburg, Tex., and 08079700 Lake Alan Henry Reservoir, a water-supply reservoir about 60 miles southeast of Lubbock, Tex., and about 10 miles east of Justiceburg, Tex. The streamflow and water-surface elevation data from the two stations are useful to water-resource managers and planners in support of forecasting and water-resource infrastructure operations and are used in regional hydrologic studies.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113147","collaboration":"Prepared in cooperation with the City of Lubbock","usgsCitation":"Asquith, W.H., and Vrabel, J., 2011, Historical streamflows of Double Mountain Fork of Brazos River and water-surface elevations of Lake Alan Henry, Garza County, Texas, water years 1962-2010: U.S. Geological Survey Fact Sheet 2011-3147, 6 p., https://doi.org/10.3133/fs20113147.","productDescription":"6 p.","startPage":"1","endPage":"6","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116753,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3147.gif"},{"id":111039,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3147/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator","datum":"NAD 83","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101.25,32.93333333333333 ], [ -101.25,33.11666666666667 ], [ -100.91666666666667,33.11666666666667 ], [ -100.91666666666667,32.93333333333333 ], [ -101.25,32.93333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a31a0e4b0c8380cd5e0aa","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vrabel, Joseph 0000-0002-8773-0764 jvrabel@usgs.gov","orcid":"https://orcid.org/0000-0002-8773-0764","contributorId":1577,"corporation":false,"usgs":true,"family":"Vrabel","given":"Joseph","email":"jvrabel@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006195,"text":"fs20113152 - 2011 - U.S. Geological Survey archived data recovery in Texas, 2008-11","interactions":[],"lastModifiedDate":"2016-08-11T15:16:03","indexId":"fs20113152","displayToPublicDate":"2011-12-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3152","title":"U.S. Geological Survey archived data recovery in Texas, 2008-11","docAbstract":"<p>The 2008&ndash;11 data rescue and recovery efforts by the U.S. Geological Survey (USGS) Texas Water Science Center resulted in an efficient workflow process, database, and Web user interface for scientists and citizens to access archived environmental information with practical applications. Much of this information is unique and has never been readily available to the public. The methods developed and lessons learned during this effort are now being applied to facilitate recovering archived information requested by USGS scientists, cooperators, and the general public.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113152","usgsCitation":"Wehmeyer, L.L., and Reece, B.D., 2011, U.S. Geological Survey archived data recovery in Texas, 2008-11: U.S. Geological Survey Fact Sheet 2011-3152, 1 p., https://doi.org/10.3133/fs20113152.","productDescription":"1 p.","startPage":"1","endPage":"1","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116792,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3152.gif"},{"id":111035,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3152/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bba9ee4b08c986b328275","contributors":{"authors":[{"text":"Wehmeyer, Loren L.","contributorId":90412,"corporation":false,"usgs":true,"family":"Wehmeyer","given":"Loren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":354051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reece, Brian D. bdreece@usgs.gov","contributorId":2129,"corporation":false,"usgs":true,"family":"Reece","given":"Brian","email":"bdreece@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":354050,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004750,"text":"70004750 - 2011 - Survival, growth and reproduction of non-indigenous Nile tilapia, Oreochromis niloticus (Linnaeus 1758). I. Physiological capabilities in various temperatures and salinities","interactions":[],"lastModifiedDate":"2021-05-18T14:55:52.334951","indexId":"70004750","displayToPublicDate":"2011-12-08T11:18:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Survival, growth and reproduction of non-indigenous Nile tilapia, <i>Oreochromis niloticus</i> (Linnaeus 1758). I. Physiological capabilities in various temperatures and salinities","title":"Survival, growth and reproduction of non-indigenous Nile tilapia, Oreochromis niloticus (Linnaeus 1758). I. Physiological capabilities in various temperatures and salinities","docAbstract":"The physiological tolerances of non-native fishes is an integral component of assessing potential invasive risk. Salinity and temperature are environmental variables that limit the spread of many non-native fishes. We hypothesised that combinations of temperature and salinity will interact to affect survival, growth, and reproduction of Nile tilapia, <i>Oreochromis niloticus</i>, introduced into Mississippi, USA. Tilapia withstood acute transfer from fresh water up to a salinity of 20 and survived gradual transfer up to 60 at typical summertime (30&deg;C) temperatures. However, cold temperature (14&deg;C) reduced survival of fish in saline waters &ge;10 and increased the incidence of disease in freshwater controls. Although fish were able to equilibrate to saline waters in warm temperatures, reproductive parameters were reduced at salinities &ge;30. These integrated responses suggest that Nile tilapia can invade coastal areas beyond their point of introduction. However, successful invasion is subject to two caveats: (1) wintertime survival depends on finding thermal refugia, and (2) reproduction is hampered in regions where salinities are &ge;30. These data are vital to predicting the invasion of non-native fishes into coastal watersheds. This is particularly important given the predicted changes in coastal landscapes due to global climate change and sea-level rise.","language":"English","publisher":"CSIRO Publishing","publisherLocation":"Collingwood, Victoria, Australia","doi":"10.1071/MF10207","usgsCitation":"Schofield, P., Peterson, M.S., Lowe, M.R., Brown-Peterson, N.J., and Slack, W.T., 2011, Survival, growth and reproduction of non-indigenous Nile tilapia, Oreochromis niloticus (Linnaeus 1758). I. 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 \"}}]}","volume":"62","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba2ebe4b08c986b31fa68","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":30306,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":351264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Mark S.","contributorId":8979,"corporation":false,"usgs":true,"family":"Peterson","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":351262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, Michael R. 0000-0002-4645-9429","orcid":"https://orcid.org/0000-0002-4645-9429","contributorId":10539,"corporation":false,"usgs":true,"family":"Lowe","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":351263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown-Peterson, Nancy J.","contributorId":53937,"corporation":false,"usgs":true,"family":"Brown-Peterson","given":"Nancy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":351266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slack, William T.","contributorId":47512,"corporation":false,"usgs":true,"family":"Slack","given":"William","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":351265,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003792,"text":"70003792 - 2011 - Structural complexity, movement bias, and metapopulation extinction risk in dendritic ecological networks","interactions":[],"lastModifiedDate":"2021-05-17T15:31:26.89373","indexId":"70003792","displayToPublicDate":"2011-12-08T10:11:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2564,"text":"Journal of the North American Benthological Society","onlineIssn":"1937-237X","printIssn":"0887-3593","active":true,"publicationSubtype":{"id":10}},"title":"Structural complexity, movement bias, and metapopulation extinction risk in dendritic ecological networks","docAbstract":"<p><span>Spatial complexity in metacommunities can be separated into 3 main components: size (i.e., number of habitat patches), spatial arrangement of habitat patches (network topology), and diversity of habitat patch types. Much attention has been paid to lattice-type networks, such as patch-based metapopulations, but interest in understanding ecological networks of alternative geometries is building. Dendritic ecological networks (DENs) include some increasingly threatened ecological systems, such as caves and streams. The restrictive architecture of dendritic ecological networks might have overriding implications for species persistence. I used a modeling approach to investigate how number and spatial arrangement of habitat patches influence metapopulation extinction risk in 2 DENs of different size and topology. Metapopulation persistence was higher in larger networks, but this relationship was mediated by network topology and the dispersal pathways used to navigate the network. Larger networks, especially those with greater topological complexity, generally had lower extinction risk than smaller and less-complex networks, but dispersal bias and magnitude affected the shape of this relationship. Applying these general results to real systems will require empirical data on the movement behavior of organisms and will improve our understanding of the implications of network complexity on population and community patterns and processes.</span></p>","language":"English","publisher":"Society for Freshwater Science","publisherLocation":"Waco, Texas","doi":"10.1899/09-120.1","usgsCitation":"Campbell Grant, E., 2011, Structural complexity, movement bias, and metapopulation extinction risk in dendritic ecological networks: Journal of the North American Benthological Society, v. 30, no. 1, p. 252-258, https://doi.org/10.1899/09-120.1.","productDescription":"7 p.","startPage":"252","endPage":"258","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204173,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9bd3e4b08c986b31d0f4","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":23233,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan H.","affiliations":[],"preferred":false,"id":348885,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70006168,"text":"sir20115179 - 2011 - Monitoring to assess progress toward meeting the Assabet River, Massachusetts, phosphorus total maximum daily load - Aquatic macrophyte biomass and sediment-phosphorus flux","interactions":[],"lastModifiedDate":"2018-10-15T07:47:49","indexId":"sir20115179","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5179","title":"Monitoring to assess progress toward meeting the Assabet River, Massachusetts, phosphorus total maximum daily load - Aquatic macrophyte biomass and sediment-phosphorus flux","docAbstract":"In 2004, the Total Maximum Daily Load (TMDL) for Total Phosphorus in the Assabet River, Massachusetts, was approved by the U.S. Environmental Protection Agency. The goal of the TMDL was to decrease the concentrations of the nutrient phosphorus to mitigate some of the instream ecological effects of eutrophication on the river; these effects were, for the most part, direct consequences of the excessive growth of aquatic macrophytes. The primary instrument effecting lower concentrations of phosphorus was to be strict control of phosphorus releases from four major wastewatertreatment plants in Westborough, Marlborough, Hudson, and Maynard, Massachusetts. The improvements to be achieved from implementing this control were lower concentrations of total and dissolved phosphorus in the river, a 50-percent reduction in aquatic-plant biomass, a 30-percent reduction in episodes of dissolved oxygen supersaturation, no low-flow dissolved oxygen concentrations less than 5.0 milligrams per liter, and a 90-percent reduction in sediment releases of phosphorus to the overlying water.  In 2007, the U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, initiated studies to evaluate conditions in the Assabet River prior to the upgrading of wastewater-treatment plants to remove more phosphorus from their effluents. The studies, completed in 2008, implemented a visual monitoring plan to evaluate the extent and biomass of the floating macrophyte Lemna minor (commonly known as lesser duckweed) in five impoundments and evaluated the potential for phosphorus flux from sediments in impounded and free-flowing reaches of the river.  Hydrologically, the two study years 2007 and 2008 were quite different. In 2007, summer streamflows, although low, were higher than average, and in 2008, the flows were generally higher than in 2007. Visually, the effects of these streamflow differences on the distribution of Lemna were obvious. In 2007, large amounts of floating macrophytes accumulated behind bridge constrictions and dams; in 2008, high flows during the early part of the growing season carried floating macrophytes past bridges and over dams, minimizing accumulations. Samples of Lemna were collected and weighed to provide an estimate of Lemna biomass based on areal coverage during the summer growing seasons at eight sites in the five impoundments. Average estimated biomass during 2007 was approximately twice the 2008 biomass in each of the areas monitored. In 2007, in situ hyperspectral and high-resolution, multispectral data from the IKONOS satellite were obtained to evaluate the feasibility of using remote sensing to monitor the extent of aquatic plant growth in Assabet River impoundments. Three vegetation indices based on light reflectance were used to develop metrics with which the hyperspectral and satellite data were compared. The results of the comparisons confirmed that the high-resolution satellite imagery could differentiate among the common aquatic-plant associations found in the impoundments. The use of satellite imagery could counterbalance emphasis on the subjective judgment of a human observer, and airborne hyperspectral data can provide higher resolution imagery than multispectral satellite data.  In 2007 and 2008, the potential for sediment flux of phosphorus was examined in free-flowing reaches of the river and in the two largest impoundments-Hudson and Ben Smith. These studies were undertaken to determine in situ flux rates prior to the implementation of the Assabet River Total Maximum Daily Load (TMDL) for phosphorus and to compare these rates with those used in the development and evaluation of the TMDL. Water samples collected from a chamber placed on the river bottom were analyzed for total phosphorus and orthophosphorus. Ambient dissolved oxygen concentrations and seasonal temperature differences appeared to affect the rates of sequestration and sediment release of phosphorus. When dissolved oxygen concentrations remained relatively high in the chambers and when the temperature was relatively low, the tendency was for phosphorus concentrations to decrease in the chambers, indicating sediment sequestration of phosphorus; when dissolved oxygen concentrations dropped to near zero and temperatures were warmest, phosphorus concentrations increased in the chambers, indicating phosphorus flux from the sediment. The rates of release and sequestration in the in situ studies were generally comparable with the rates determined in laboratory studies of Assabet River sediment cores for State and Federal agencies. Sediment-core and chamber studies produced substantial sediment fluxes to the water column only under extremely low-DO or anaerobic conditions rarely found in the Assabet River impoundments; thus, sediment is not likely to be a major phosphorus source, especially when compared to the wastewater effluent, which sustains higher ambient concentrations. The regulatory agencies now (2011) have substantial laboratory and field data with which to determine the required 90-percent reduction in phosphorus flux after the completion of upgrades to the wastewater-treatment plants that discharge to the Assabet River.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115179","usgsCitation":"Zimmerman, M.J., Qian, Y., and Yong Q., T., 2011, Monitoring to assess progress toward meeting the Assabet River, Massachusetts, phosphorus total maximum daily load - Aquatic macrophyte biomass and sediment-phosphorus flux: U.S. Geological Survey Scientific Investigations Report 2011-5179, x, 77 p., https://doi.org/10.3133/sir20115179.","productDescription":"x, 77 p.","onlineOnly":"Y","temporalStart":"2007-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":111004,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5179/","linkFileType":{"id":5,"text":"html"}},{"id":116745,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5179.gif"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Assabet River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72,42 ], [ -72,43 ], [ -71,43 ], [ -71,42 ], [ -72,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5df6e4b0c8380cd706f0","contributors":{"authors":[{"text":"Zimmerman, Marc J. mzimmerm@usgs.gov","contributorId":3245,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Marc","email":"mzimmerm@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Yu","contributorId":105037,"corporation":false,"usgs":true,"family":"Qian","given":"Yu","email":"","affiliations":[],"preferred":false,"id":353986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yong Q., Tian","contributorId":31102,"corporation":false,"usgs":true,"family":"Yong Q.","given":"Tian","email":"","affiliations":[],"preferred":false,"id":353985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70006172,"text":"ds654 - 2011 - Thermal profiles for selected river reaches in the Stillaguamish River basin, Washington, August 2011","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ds654","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"654","title":"Thermal profiles for selected river reaches in the Stillaguamish River basin, Washington, August 2011","docAbstract":"Datums\nHorizontal coordinate information is referenced to the North American Datum of 1983 (NAD 83).\nAbstract\nLongitudinal profiles of near-streambed temperature were collected for eight river reaches in the Stillaguamish River basin, Washington, during August 2011, to provide information about areas of groundwater discharge to streams. During summer, groundwater discharge can be a source of cold water to streams that regulates warm stream temperatures creating cold-water thermal refugia for native stream biota including salmon and trout. To assess areas of groundwater discharge to streams, temperature was measured using a probe with an internal datalogger towed behind a watercraft moving downstream at ambient stream velocity. The data were referenced to location, concurrently surveyed with a Global Positioning System, during collection of the water temperature data. Data are presented as Microsoft Excel&reg; files consisting of date and time, near-streambed water temperature, and latitude and longitude.\nIntroduction\nLongitudinal profiles of near-streambed temperatures surveyed at ambient river velocity in a Lagrangian framework provide information about potential areas of groundwater discharge as well as salmonid habitat and thermal refugia (Vaccaro and Maloy, 2006). Longitudinal thermal profiles have previously been surveyed in several rivers in Washington, including the Yakima River and tributaries (Vaccaro and others, 2008) and the Nooksack River (Cox and others, 2005). This report presents eight thermal profiles within the Stillaguamish River basin including parts of the North Fork Stillaguamish River, South Fork Stillaguamish River, Jim Creek, and Pilchuck Creek (fig. 1). This data augments previous investigations of longitudinal temperature variations within the Stillaguamish River and tributaries by thermal infrared radar by the Washington State Department of Ecology (Watershed Sciences, 2002), and may be used as a tool to develop a better understanding of groundwater/surface-water interactions within the Stillaguamish River basin.\nPurpose and Scope\nThe purpose of this report is to present longitudinal thermal profiles of stream temperature of streams within the Stillaguamish River basin including the North Fork Stillaguamish River, the South Fork Stillaguamish River, Pilchuck Creek, and Jim Creek. This data may be used to determine zones of groundwater discharge and improve understanding of the relation between the groundwater and surface water systems of the Stillaguamish River basin.\nDescription of Study Area\nThe Stillaguamish River basin is in northwestern Washington and is bounded to the east by the Cascade Mountains, to the west by Puget Sound, to the north by the Skagit River basin, and to the south by the Snohomish River basin (fig. 1). The Stillaguamish River basin is characterized by cool, wet winters and warm, dry summers. Mean annual discharge of the North Fork Stillaguamish River (North Fork Stillaguamish River near Arlington, Washington, USGS gaging station 12167000) for water years 1929-2010 is 1,898 ft<sup>3</sup>/s and mean annual discharge of the South Fork Stillaguamish River (South Fork Stillaguamish River near Granite Falls, Washington gaging station 12161000) for water years 1929-1980 is 1,071 ft<sup>3</sup>/s. Jim Creek is a tributary of the South Fork Stillaguamish River and Pilchuck Creek is a tributary of the mainstem Stillaguamish River.\nThermal Profile Survey\nContinuous water temperature and Global Positioning System (GPS) data were collected at 3-second intervals while drifting downstream at ambient stream velocity in a Lagrangian framework following the method of Vaccaro and Maloy (2006) for Pilchuck Creek between river mile (RM) 0.0 and 3.7 (table 1); the North Fork Stillaguamish River between RM 0.0 and 34.2 (tables 2-5); South Fork Stillaguamish River between RM 17.7 and 33.4 (tables 6-7); and Jim Creek between RM 0.0 and 7.0 (table 8). Profiling at ambient stream velocity in a Lagrangian framework tracks a parcel of water as it moves downstream during the day; departures from the diurnal heating cycle may be due to groundwater input, surface-water inflows, or riparian shading. Continuous temperature was measured using a Solinst&reg; Levelogger LT temperature probe verified by a National Institute of Standards and Technology (NIST) certified thermistor and position data was measured using a Garmin&reg; GPSmap&reg; 60Csx for the eight surveys during August 15-26, 2011. The temperature probe was towed behind a watercraft following the stream thalweg and dragged along the streambed except when in-stream obstacles prevented probe movement downstream. The location of each temperature measurement was determined by relating the time stamp of the GPS data to the temperature data. If a GPS location was not recorded at the same time as a temperature measurement, the location of the temperature measurement was determined by linear interpolation of the two GPS known locations that bracket the time of the temperature measurement. A 0.5-mi gap exists between the beginning of the North Fork Stillaguamish datasets collected on August 18 (table 4) and August 22 (table 5) because of inadequate equilibration of the temperature probe to ambient stream temperature during the initial 0.5 mi of the August 22 survey.\nDistribution of Information\nAn Excel file of tables 1-8 that include the thermal-profile data for each longitudinal thermal profile is available at http://pubs.usgs.gov/ds/654/ds654_tables.xls.\nTable 1. Temperature and Global Positioning System location data for the Pilchuck Creek (RM 0.0-3.7), August 15, 2011.\nTable 2. Temperature and Global Positioning System location data for the North Fork Stillaguamish River (RM 30.0-34.2), August 16, 2011.\nTable 3. Temperature and Global Positioning System location data for the North Fork Stillaguamish River (RM 17.6-30.0), August 17, 2011.\nTable 4. Temperature and Global Positioning System location data for the North Fork Stillaguamish River (RM 9.5-17.6), August 18, 2011.\nTable 5. Temperature and Global Positioning System location data for the North Fork Stillaguamish River (RM 0.0-9.0), August 22, 2011.\nTable 6. Temperature and Global Positioning System location data for the South Fork Stillaguamish River (RM 25.9-33.4), August 24, 2011.\nTable 7. Temperature and Global Positioning System location data for the South Fork Stillaguamish River (RM 17.7-25.9), August 26, 2011.\nTable 8. Temperature and Global Positioning System location data for Jim Creek (RM 0.0-7.0), August 25, 2011.\nReferences Cited\nCox, S.E., Simonds, F.W., Doremus, L., Huffman, R.L., and Defawe, R.M., 2005, Ground water/surface water interactions and quality of discharging ground water in streams of the lower Nooksack River Basin, Whatcom County, Washington: U.S. Geological Survey Scientific Investigations Report 2005-5255, 46 p\nVaccaro, J.J., Keys, M.E., Julich, R.J., and Welch, W.B., 2008, Thermal profiles for selected river reaches in the Yakima River basin, Washington: U.S. Geological Survey Data Series 342 (Available at http://pubs.usgs.gov/ds/342/).\nVaccaro, J.J., and Maloy, K.J., 2006, A thermal profile method to identify potential ground-water discharge areas and preferred salmonid habitats for long river reaches: U.S. Geological Survey Scientific Investigations Report 2006-5136, 16 p.\nWatershed Sciences, LLC, 2002, Aerial surveys in the Stillaguamish and Skagit River Basins-Thermal infrared and color videography: Corvallis, Oreg., Water Sciences, for Washington Department of Ecology, 28 p.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds654","usgsCitation":"Gandaszek, A.S., 2011, Thermal profiles for selected river reaches in the Stillaguamish River basin, Washington, August 2011: U.S. Geological Survey Data Series 654, iv, 33 p., https://doi.org/10.3133/ds654.","productDescription":"iv, 33 p.","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":116747,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_654.png"},{"id":111007,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/654/","linkFileType":{"id":5,"text":"html"}}],"state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,48.083333333333336 ], [ -122.5,48.416666666666664 ], [ -121.5,48.416666666666664 ], [ -121.5,48.083333333333336 ], [ -122.5,48.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb250e4b08c986b325703","contributors":{"authors":[{"text":"Gandaszek, Andrew S.","contributorId":97619,"corporation":false,"usgs":true,"family":"Gandaszek","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":353990,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70006171,"text":"fs20113141 - 2011 - U.S. Geological Survey Community for Data Integration-NWIS Web Services Snapshot Tool for ArcGIS","interactions":[],"lastModifiedDate":"2016-08-11T15:17:46","indexId":"fs20113141","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3141","title":"U.S. Geological Survey Community for Data Integration-NWIS Web Services Snapshot Tool for ArcGIS","docAbstract":"<p>U.S. Geological Survey (USGS) data resources are so vast that many scientists are unaware of data holdings that may be directly relevant to their research. Data are also difficult to access and large corporate databases, such as the National Water Information System (NWIS) that houses hydrologic data for the Nation, are challenging to use without considerable expertise and investment of time. The USGS Community for Data Integration (CDI) was established in 2009 to address data and information management issues affecting the proficiency of earth science research. A CDI workshop convened in 2009 identified common data integration needs of USGS scientists and targeted high value opportunities that might address these needs by leveraging existing projects in USGS science centers, in-kind contributions, and supplemental funding. To implement this strategy, CDI sponsored a software development project in 2010 to facilitate access and use of NWIS data with ArcGIS, a widely used Geographic Information System. The resulting software product, the NWIS Web Services Snapshot Tool for ArcGIS, is presented here.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113141","usgsCitation":"Holl, S., 2011, U.S. Geological Survey Community for Data Integration-NWIS Web Services Snapshot Tool for ArcGIS: U.S. Geological Survey Fact Sheet 2011-3141, 2 p., https://doi.org/10.3133/fs20113141.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116746,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3141.gif"},{"id":111006,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3141/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bba60e4b08c986b328138","contributors":{"authors":[{"text":"Holl, Sally","contributorId":107416,"corporation":false,"usgs":true,"family":"Holl","given":"Sally","affiliations":[],"preferred":false,"id":353989,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70006164,"text":"ds644 - 2011 - Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ds644","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"644","title":"Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June 2009","docAbstract":"Previous investigations indicate that natural attenuation and biodegradation of chlorinated volatile organic compounds (VOCs) are substantial in groundwater beneath the 9-acre former landfill at Operable Unit 1 (OU 1), Naval Undersea Warfare Center, Division Keyport, Washington. Phytoremediation combined with ongoing natural attenuation processes was the preferred remedy selected by the U.S. Navy, as specified in the Record of Decision for the site. The U.S. Navy planted two hybrid poplar plantations on the landfill in spring 1999 to remove and to control the migration of chlorinated VOCs in shallow groundwater. The U.S. Geological Survey (USGS) has continued to monitor groundwater geochemistry to ensure that conditions remain favorable for contaminant biodegradation as specified in the Record of Decision. This report presents groundwater geochemical and selected VOC data collected at OU 1 by the USGS during June 15-17, 2009, in support of long-term monitoring for natural attenuation. For 2009, groundwater samples were collected from 13 wells and 9 piezometers. Samples from all wells and piezometers were analyzed for redox sensitive constituents, and samples from 10 of 18 upper-aquifer wells and piezometers and 3 of 4 intermediate-aquifer wells also were analyzed for chlorinated VOCs. Concentrations of redox sensitive constituents measured in 2009 were consistent with previous years, with dissolved hydrogen (H2) concentrations ranging from less than 0.1 to 1.8 nanomolar (nM), dissolved oxygen concentrations all at 0.6 milligram per liter or less; little to no detectable nitrate; abundant dissolved manganese, iron, and methane; and commonly detected sulfide. The reductive declorination byproducts-methane, ethane, and ethene-were not detected in samples collected from the upgradient wells in the landfill or the upper aquifer beneath the northern phytoremediation plantation. Chlorinated VOC concentrations in 2009 at most piezometers were similar to or slightly less than chlorinated VOC concentrations measured in previous years. In 2009, concentrations of reductive dechlorination byproducts ethane and ethene were less than those measured in 2008 at most northern plantation wells and piezometers. For the upper aquifer beneath the southern phytoremediation plantation, chlorinated VOC concentrations in 2009 at the piezometers were extremely high and continued to vary considerably over space and between years. At piezometer P1-9, the total chlorinated VOC concentration increased from 25,000 micrograms per liter in 2008 to more than 172,000 micrograms per liter in 2009. At piezometer P1-7 in 2009, the concentrations of trichloroethene and cis-1,2-dichloroethene (cis-DCE) were the highest to date. The reductive dechlorination byproducts ethane and ethene were detected at all wells and piezometers in the southern plantation with the exception of piezometer P1-8, although the measured concentrations were not consistently high. For the intermediate aquifer, concentrations of redox sensitive constituents and VOCs in 2009 at wells MW1-25, MW1-28, and MW1-39 were consistent with concentrations measured in previous years. Concentrations of the reductive dechlorination byproducts ethane and ethene at wells MW1-25 and MW1-28 were equal to or greater than previously measured concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds644","collaboration":"Prepared in cooperation with Department of the Navy, Naval Facilities Engineering Command, Northwest","usgsCitation":"Huffman, R., and Dinicola, R., 2011, Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June 2009: U.S. Geological Survey Data Series 644, iv, 38 p., https://doi.org/10.3133/ds644.","productDescription":"iv, 38 p.","numberOfPages":"38","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":116692,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_644.jpg"},{"id":111001,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/644/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.63388888888889,47.683611111111105 ], [ -122.63388888888889,47.70111111111111 ], [ -122.60083333333333,47.70111111111111 ], [ -122.60083333333333,47.683611111111105 ], [ -122.63388888888889,47.683611111111105 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2da5e4b0c8380cd5bf80","contributors":{"authors":[{"text":"Huffman, R.L.","contributorId":44956,"corporation":false,"usgs":true,"family":"Huffman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":353979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dinicola, R.S.","contributorId":64290,"corporation":false,"usgs":true,"family":"Dinicola","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":353980,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006167,"text":"ds655 - 2011 - Sources and preparation of data for assessing trends in concentrations of pesticides in streams of the United States, 1992&ndash;2010","interactions":[],"lastModifiedDate":"2013-06-04T13:16:00","indexId":"ds655","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"655","title":"Sources and preparation of data for assessing trends in concentrations of pesticides in streams of the United States, 1992&ndash;2010","docAbstract":"This report updates a previously published water-quality dataset of 44 commonly used pesticides and 8 pesticide degradates suitable for a national assessment of trends in pesticide concentrations in streams of the United States.  Water-quality samples collected from January 1992 through September 2010 at stream-water sites of the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program and the National Stream Quality Accounting Network (NASQAN) were compiled, reviewed, selected, and prepared for trend analysis.  The principal steps in data review for trend analysis were to (1) identify analytical schedule, (2) verify sample-level coding, (3) exclude inappropriate samples or results, (4) review pesticide detections per sample, (5) review high pesticide concentrations, and (6) review the spatial and temporal extent of NAWQA pesticide data and selection of analytical methods for trend analysis.  The principal steps in data preparation for trend analysis were to (1) select stream-water sites for trend analysis, (2) round concentrations to a consistent level of precision for the concentration range, (3) identify routine reporting levels used to report nondetections unaffected by matrix interference, (4) reassign the concentration value for routine nondetections to the maximum value of the long-term method detection level (maxLT-MDL), (5) adjust concentrations to compensate for temporal changes in bias of recovery of the gas chromatography/mass spectrometry (GCMS) analytical method, and (6) identify samples considered inappropriate for trend analysis.  Samples analyzed at the USGS National Water Quality Laboratory (NWQL) by the GCMS analytical method were the most extensive in time and space and, consequently, were selected for trend analysis. Stream-water sites with 3 or more water years of data with six or more samples per year were selected for pesticide trend analysis. The selection criteria described in the report produced a dataset of 21,988 pesticide samples at 212 stream-water sites. Only 21,144 pesticide samples, however, are considered appropriate for trend analysis.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds655","usgsCitation":"Martin, J.D., Eberle, M., and Nakagaki, N., 2011, Sources and preparation of data for assessing trends in concentrations of pesticides in streams of the United States, 1992&ndash;2010: U.S. Geological Survey Data Series 655, vi, 22 p.; Appendices, https://doi.org/10.3133/ds655.","productDescription":"vi, 22 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":533,"text":"Pesticide National Synthesis Project","active":false,"usgs":true}],"links":[{"id":116743,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_655.gif"},{"id":111003,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/655/","linkFileType":{"id":5,"text":"html"}},{"id":273224,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds655_basins.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49 ], [ -66.95,49 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b935ce4b08c986b31a45a","contributors":{"authors":[{"text":"Martin, Jeffrey D. 0000-0003-1994-5285 jdmartin@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-5285","contributorId":1066,"corporation":false,"usgs":true,"family":"Martin","given":"Jeffrey","email":"jdmartin@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberle, Michael","contributorId":39770,"corporation":false,"usgs":true,"family":"Eberle","given":"Michael","email":"","affiliations":[],"preferred":false,"id":353983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nakagaki, Naomi 0000-0003-3653-0540 nakagaki@usgs.gov","orcid":"https://orcid.org/0000-0003-3653-0540","contributorId":1067,"corporation":false,"usgs":true,"family":"Nakagaki","given":"Naomi","email":"nakagaki@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353982,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70006151,"text":"sir20115197 - 2011 - Source-water susceptibility assessment in Texas&mdash;Approach and methodology","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20115197","displayToPublicDate":"2011-12-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5197","title":"Source-water susceptibility assessment in Texas&mdash;Approach and methodology","docAbstract":"Public water systems provide potable water for the public's use. The Safe Drinking Water Act amendments of 1996 required States to prepare a source-water susceptibility assessment (SWSA) for each public water system (PWS). States were required to  determine the source of water for each PWS, the origin of any contaminant of concern (COC) monitored or to be monitored, and the susceptibility of the public water system to COC exposure, to protect public water supplies from contamination. In Texas, the Texas Commission on Environmental Quality (TCEQ) was responsible for preparing SWSAs for the more than 6,000 public water systems, representing more than 18,000 surface-water intakes or groundwater wells. The U.S. Geological Survey (USGS) worked in cooperation with TCEQ to develop the Source Water Assessment Program (SWAP) approach and methodology. Texas' SWAP meets all requirements of the Safe Drinking Water Act and ultimately provides the TCEQ with a comprehensive tool for protection of public water systems from contamination by up to 247 individual COCs. TCEQ staff identified both the list of contaminants to be assessed and contaminant threshold values (THR) to be applied. COCs were chosen because they were regulated contaminants, were expected to become regulated contaminants in the near future, or were unregulated but thought to represent long-term health concerns. THRs were based on maximum contaminant levels from U.S. Environmental Protection Agency (EPA)'s National Primary Drinking Water Regulations. For reporting purposes, COCs were grouped into seven contaminant groups: inorganic compounds, volatile organic compounds, synthetic organic compounds, radiochemicals, disinfection byproducts, microbial organisms, and physical properties. Expanding on the TCEQ's definition of susceptibility, subject-matter expert working groups formulated the SWSA approach based on assumptions that natural processes and human activities contribute COCs in quantities that vary in space and time; that increased levels of COC-producing activities within a source area may increase susceptibility to COC exposure; and that natural and manmade conditions within the source area may increase, decrease, or have no observable effect on susceptibility to COC exposure. Incorporating these assumptions, eight SWSA components were defined: identification, delineation, intrinsic susceptibility, point- and nonpoint-source susceptibility, contaminant occurrence, area-of-primary influence, and summary components. Spatial datasets were prepared to represent approximately 170 attributes or indicators used in the assessment process. These primarily were static datasets (approximately 46 gigabytes (GB) in size). Selected datasets such as PWS surface-water-intake or groundwater-well locations and potential source of contamination (PSOC) locations were updated weekly. Completed assessments were archived, and that database is approximately 10 GB in size. SWSA components currently (2011) are implemented in the Source Water Assessment Program-Decision Support System (SWAP-DSS) computer software, specifically developed to produce SWSAs. On execution of the software, the components work to identify the source of water for the well or intake, assess intrinsic susceptibility of the water- supply source, assess susceptibility to contamination with COCs from point and nonpoint sources, identify any previous detections of COCs from existing water-quality databases, and summarize the results. Each water-supply source's susceptibility is assessed, source results are weighted by source capacity (when a PWS has multiple sources), and results are combined into a single SWSA for the PWS.'SWSA reports are generated using the software; during 2003, more than 6,000 reports were provided to PWS operators and the public. The ability to produce detailed or summary reports for individual sources, and detailed or summary reports for a PWS, by COC or COC group was a unique capability of SWAP-DSS. In 2004, the TCEQ began a rotating schedule for SWSA wherein one-third of PWSs statewide would be assessed annually, or sooner if protection-program activities deemed it necessary, and that schedule has continued to the present. Cooperative efforts by the TCEQ and the USGS for SWAP software maintenance and enhancements ended in 2011 with the TCEQ assuming responsibility for all tasks.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115197","collaboration":"Prepared in cooperation with the Texas Commission on Environmental Quality","usgsCitation":"Ulery, R.L., Meyer, J.E., Andren, R.W., and Newson, J.K., 2011, Source-water susceptibility assessment in Texas&mdash;Approach and methodology: U.S. Geological Survey Scientific Investigations Report 2011-5197, xii, 33 p.; Appendices, https://doi.org/10.3133/sir20115197.","productDescription":"xii, 33 p.; Appendices","startPage":"i","endPage":"64","numberOfPages":"76","additionalOnlineFiles":"N","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":110995,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5197/","linkFileType":{"id":5,"text":"html"}},{"id":116689,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5197.jpg"}],"scale":"250000","projection":"Albers Equal Area","datum":"NAD 83","country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107,25.75 ], [ -107,36.5 ], [ -95,36.5 ], [ -95,25.75 ], [ -107,25.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9349e4b08c986b31a401","contributors":{"authors":[{"text":"Ulery, Randy L. rlulery@usgs.gov","contributorId":4679,"corporation":false,"usgs":true,"family":"Ulery","given":"Randy","email":"rlulery@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":353950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, John E.","contributorId":17359,"corporation":false,"usgs":true,"family":"Meyer","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andren, Robert W.","contributorId":52708,"corporation":false,"usgs":true,"family":"Andren","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":353952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newson, Jeremy K. jknewson@usgs.gov","contributorId":4159,"corporation":false,"usgs":true,"family":"Newson","given":"Jeremy","email":"jknewson@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70006153,"text":"ofr20111278 - 2011 - 2010 update&mdash;Streamflow characteristics at selected sites in southwestern Georgia, southeastern Alabama, and northwestern Florida, near Lake Seminole","interactions":[],"lastModifiedDate":"2016-12-08T14:54:33","indexId":"ofr20111278","displayToPublicDate":"2011-12-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1278","title":"2010 update&mdash;Streamflow characteristics at selected sites in southwestern Georgia, southeastern Alabama, and northwestern Florida, near Lake Seminole","docAbstract":"Since the first edition of this report was published in 1996, continuous streamflow data have been recorded in the tri-state area of Alabama, Georgia, and Florida, near Lake Seminole. Several notable floods and severe droughts have occurred during this additional 16-year period that have sparked the need to include these additional recorded data into a comprehensive report for use by local, State, and Federal agencies. Flow durations, low-flow, and mean-flow analyses of daily mean discharges were compiled and analyzed for 12 streamflow stations during three selected periods that included pre-Lake Seminole (1929-53), post-Lake Seminole and pre-irrigation (1958-70), and post-Lake Seminole and post-irrigation (1976-2010), as well as for specified partial periods. The analyses yielded information on the variability of inflow to and outflow from Lake Seminole and the variability of flows in area streams. Streamflow characteristics for Ichawaynochaway Creek at Milford, Georgia, and Chipola River near Altha, Florida, varied similarly from 1944-53 to 1958-70, with mean annual flows decreasing by about 8 and 6 percent, respectively. This decreasing trend continued from 1958-70 to 1976-2010 by about 10 and 2 percent, respectively. The mean annual streamflow for Spring Creek near Iron City, Georgia, however, remained basically unchanged from 1944-53 to 1958-70, as well as from 1958-70 to 1976-2010. Streamflow characteristics for inflow to and outflow from Lake Seminole varied similarly during 1929-53, 1958-70, and 1976-2010. Mean 30-day low flows for inflow and outflow at Lake Seminole increased by about 24 to 11 percent, respectively, from 1929-53 to 1958-70; the values for 1976-2010 returned to near, but less than, the low-flow values of 1929-53.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111278","collaboration":"Prepared in cooperation with the Georgia Department of Natural Resources","usgsCitation":"Stamey, T.C., 2011, 2010 update&mdash;Streamflow characteristics at selected sites in southwestern Georgia, southeastern Alabama, and northwestern Florida, near Lake Seminole: U.S. Geological Survey Open-File Report 2011-1278, iv, 10 p., https://doi.org/10.3133/ofr20111278.","productDescription":"iv, 10 p.","startPage":"i","endPage":"10","numberOfPages":"14","additionalOnlineFiles":"N","temporalStart":"1929-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":110997,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1278/","linkFileType":{"id":5,"text":"html"}},{"id":116690,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1278.jpg"}],"country":"United States","state":"Georgia;Alabama;Florida","otherGeospatial":"Lake Seminole","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86,29.5 ], [ -86,32.333333333333336 ], [ -83.25,32.333333333333336 ], [ -83.25,29.5 ], [ -86,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4926e4b0b290850eeeb4","contributors":{"authors":[{"text":"Stamey, Timothy C. tcstamey@usgs.gov","contributorId":4770,"corporation":false,"usgs":true,"family":"Stamey","given":"Timothy","email":"tcstamey@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":353967,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70006158,"text":"70006158 - 2011 - Geochemical database of feed coal and coal combustion products (CCPs) from five power plants in the United States","interactions":[],"lastModifiedDate":"2012-02-02T00:16:00","indexId":"70006158","displayToPublicDate":"2011-12-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"635","title":"Geochemical database of feed coal and coal combustion products (CCPs) from five power plants in the United States","docAbstract":"The principal mission of the U.S. Geological Survey (USGS) Energy Resources Program (ERP) is to (1) understand the processes critical to the formation, accumulation, occurrence, and alteration of geologically based energy resources; (2) conduct scientifically robust assessments of those resources; and (3) study the impacts of energy resource occurrence and (or) their production and use on both the environment and human health. The ERP promotes and supports research resulting in original, geology-based, non-biased energy information products for policy and decision makers, land and resource managers, other Federal and State agencies, the domestic energy industry, foreign governments, non-governmental groups, and academia. Investigations include research on the geology of oil, gas, and coal, and the impacts associated with energy resource occurrence, production, quality, and utilization. The ERP's focus on coal is to support investigations into current issues pertaining to coal production, beneficiation and (or) conversion, and the environmental impact of the coal combustion process and coal combustion products (CCPs). To accomplish these studies, the USGS combines its activities with other organizations to address domestic and international issues that relate to the development and use of energy resources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70006158","usgsCitation":"Affolter, R.H., Groves, S., Betterton, W.J., William, B., Conrad, K.L., Swanson, S.M., Ruppert, L.F., Clough, J.G., Belkin, H.E., Kolker, A., and Hower, J., 2011, Geochemical database of feed coal and coal combustion products (CCPs) from five power plants in the United States: U.S. Geological Survey Data Series 635, 19 p.; PDF Download of References; HTML Instructions; HTML List of Files; Data Series ZIP, https://doi.org/10.3133/70006158.","productDescription":"19 p.; PDF Download of References; HTML Instructions; HTML List of Files; Data Series ZIP","startPage":"1","endPage":"19","numberOfPages":"19","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":116691,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_635.png"},{"id":110999,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/635/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1622e4b0c8380cd55062","contributors":{"authors":[{"text":"Affolter, Ronald H. affolter@usgs.gov","contributorId":659,"corporation":false,"usgs":true,"family":"Affolter","given":"Ronald","email":"affolter@usgs.gov","middleInitial":"H.","affiliations":[{"id":165,"text":"Central Energy Resources Team","active":false,"usgs":true}],"preferred":false,"id":353971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groves, Steve","contributorId":24081,"corporation":false,"usgs":true,"family":"Groves","given":"Steve","email":"","affiliations":[],"preferred":false,"id":353975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Betterton, William J. wbettert@usgs.gov","contributorId":2572,"corporation":false,"usgs":true,"family":"Betterton","given":"William","email":"wbettert@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":353973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"William, Benzel","contributorId":78074,"corporation":false,"usgs":true,"family":"William","given":"Benzel","email":"","affiliations":[],"preferred":false,"id":353978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrad, Kelly L. klconrad@usgs.gov","contributorId":4647,"corporation":false,"usgs":true,"family":"Conrad","given":"Kelly","email":"klconrad@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":353974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swanson, Sharon M. 0000-0002-4235-1736 smswanson@usgs.gov","orcid":"https://orcid.org/0000-0002-4235-1736","contributorId":590,"corporation":false,"usgs":true,"family":"Swanson","given":"Sharon","email":"smswanson@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353969,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353972,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clough, James G.","contributorId":67152,"corporation":false,"usgs":false,"family":"Clough","given":"James","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":353977,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Belkin, Harvey E. 0000-0001-7879-6529 hbelkin@usgs.gov","orcid":"https://orcid.org/0000-0001-7879-6529","contributorId":581,"corporation":false,"usgs":true,"family":"Belkin","given":"Harvey","email":"hbelkin@usgs.gov","middleInitial":"E.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353968,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kolker, Allan 0000-0002-5768-4533 akolker@usgs.gov","orcid":"https://orcid.org/0000-0002-5768-4533","contributorId":643,"corporation":false,"usgs":true,"family":"Kolker","given":"Allan","email":"akolker@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353970,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hower, James C. 0000-0003-4694-2776","orcid":"https://orcid.org/0000-0003-4694-2776","contributorId":34561,"corporation":false,"usgs":false,"family":"Hower","given":"James C.","affiliations":[{"id":16123,"text":"University of Kentucky, Center for Applied Energy Research, 2540 Research Park Drive, Lexington, KY 40511, United States.","active":true,"usgs":false}],"preferred":false,"id":353976,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70006152,"text":"pp1787 - 2011 - Baseline and projected future carbon storage and greenhouse-gas fluxes in the Great Plains region of the United States","interactions":[],"lastModifiedDate":"2019-06-21T14:59:39","indexId":"pp1787","displayToPublicDate":"2011-12-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1787","title":"Baseline and projected future carbon storage and greenhouse-gas fluxes in the Great Plains region of the United States","docAbstract":"This assessment was conducted to fulfill the requirements of section 712 of the Energy Independence and Security Act (EISA) of 2007 and to improve understanding of carbon and greenhouse gas (GHG) fluxes in the Great Plains region in the central part of the United States. The assessment examined carbon storage, carbon fluxes, and other GHG fluxes (methane and nitrous oxide) in all major terrestrial ecosystems (forests, grasslands/shrublands, agricultural lands, and wetlands) and freshwater aquatic systems (rivers, streams, lakes, and impoundments) in two time periods: baseline (generally in the first half of the 2010s) and future (projections from baseline to 2050). The assessment was based on measured and observed data collected by the U.S. Geological Survey (USGS) and many other agencies and organizations and used remote sensing, statistical methods, and simulation models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1787","usgsCitation":"Bouchard, M., Butman, D., Hawbaker, T., Li, Z., Liu, J., Liu, S., McDonald, C., Reker, R.R., Sayler, K., Sleeter, B., Sohl, T., Stackpoole, S., Wein, A., and Zhu, Z., 2011, Baseline and projected future carbon storage and greenhouse-gas fluxes in the Great Plains region of the United States: U.S. Geological Survey Professional Paper 1787, vii, 28 p., https://doi.org/10.3133/pp1787.","productDescription":"vii, 28 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":116742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1787.gif"},{"id":338660,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1787/p1787.pdf"},{"id":110996,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1787/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Great Plains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,25 ], [ -120,50 ], [ -85,50 ], [ -85,25 ], [ -120,25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059efd6e4b0c8380cd4a496","contributors":{"editors":[{"text":"Zhu, Zhi-Liang zzhu@usgs.gov","contributorId":3636,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","email":"zzhu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":508303,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bouchard, Michelle 0000-0002-6353-3491 mbouchard@usgs.gov","orcid":"https://orcid.org/0000-0002-6353-3491","contributorId":3765,"corporation":false,"usgs":true,"family":"Bouchard","given":"Michelle","email":"mbouchard@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":353956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, David","contributorId":51011,"corporation":false,"usgs":true,"family":"Butman","given":"David","affiliations":[],"preferred":false,"id":353959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawbaker, Todd","contributorId":91069,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","affiliations":[],"preferred":false,"id":353966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Zhengpeng","contributorId":80812,"corporation":false,"usgs":true,"family":"Li","given":"Zhengpeng","affiliations":[],"preferred":false,"id":353964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":353955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":353954,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDonald, Cory","contributorId":76875,"corporation":false,"usgs":true,"family":"McDonald","given":"Cory","affiliations":[],"preferred":false,"id":353963,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reker, Ryan R. 0000-0001-7524-0082 rreker@usgs.gov","orcid":"https://orcid.org/0000-0001-7524-0082","contributorId":174136,"corporation":false,"usgs":true,"family":"Reker","given":"Ryan","email":"rreker@usgs.gov","middleInitial":"R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":353957,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sayler, Kristi 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":65220,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","affiliations":[],"preferred":false,"id":353960,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sleeter, Benjamin","contributorId":48927,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","affiliations":[],"preferred":false,"id":353958,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sohl, Terry 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":81861,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":353965,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stackpoole, Sarah","contributorId":67832,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","affiliations":[],"preferred":false,"id":353961,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":353953,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zhu, Zhi-Liang","contributorId":70726,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","affiliations":[],"preferred":false,"id":353962,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70006193,"text":"sir20115185 - 2011 - Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08","interactions":[],"lastModifiedDate":"2018-07-07T18:16:27","indexId":"sir20115185","displayToPublicDate":"2011-12-04T08:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5185","title":"Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08","docAbstract":"The Chokosna, Gilahina, and Lakina River basins, and the Long Lake watershed are located along McCarthy Road in Wrangell&ndash;St. Elias National Park and Preserve. The rivers and lake support a large run of sockeye (red) salmon that is important to the commercial and recreational fisheries in the larger Copper River. To gain a better understanding of the water quality conditions of these watersheds, these basins were studied as part of a cooperative study with the National Park Service during the open water periods in 2007 and 2008.  Water type of the rivers and Long Lake is calcium bicarbonate with the exception of that in the Chokosna River, which is calcium bicarbonate sulfate water. Alkalinity concentrations ranged from 63 to 222 milligrams per liter, indicating a high buffering capacity in these waters. Analyses of streambed sediments indicated that concentrations of the trace elements arsenic, chromium, and nickel exceed levels that might be toxic to fish and other aquatic organisms. However, these concentrations reflect local geology rather than anthropogenic sources in this nearly pristine area.  Benthic macroinvertebrate qualitative multi-habitat and richest targeted habitat samples collected from six stream sites along McCarthy Road indicated a total of 125 taxa. Insects made up the largest percentage of macroinvertebrates, totaling 83 percent of the families found. Dipterans (flies and midges) accounted for 43 percent of all macroinvertebrates found. Analysis of the macroinvertebrate data by non-metric multidimensional scaling indicated differences between (1) sites at Long Lake and other stream sites along McCarthy Road, likely due to different basin characteristics, (2) the 2007 and 2008 data, probably from the higher rainfall in 2008, and (3) macroinvertebrate data collected in south-central Alaska, which represents a different climate zone. The richness, abundance, and community composition of periphytic algae taxa was variable between sampling sites. Taxa richness and diversity were highest at the Long Lake outflow site, suggesting that the lake may have contributed planktonic taxa to the periphytic community and (or) created physical and chemical conditions at the outlet that were favorable to a variety of taxa.  Long Lake is fed by groundwater and by clear water (non glacial) streams, resulting in relatively high Secchi-disc readings ranging from 17.5 to 23 feet. Depth profiles of water temperature in the lake show a strong stratification during the summer from the surface to about 13 feet, with temperatures ranging from 16 to 5 &deg;C. Depth profiles of dissolved oxygen in the lake show a strong stratification between 26 and 33 feet, below which the concentrations of dissolved oxygen decrease from 10 to 2 milligrams per liter. Because the Long Lake outlet stream supports a large run of sockeye salmon and water temperature is an important factor during its life cycle, a logistic model was used to simulate 1998&ndash;2006 water temperatures at this site. Analysis of simulation results for 1998&ndash;2008 indicated no significant trends in water temperature. 2007 water temperatures were the highest during the 10-year period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115185","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Brabets, T.P., Ourso, R.T., Miller, M.P., and Brasher, A.M., 2011, Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08: U.S. Geological Survey Scientific Investigations Report 2011-5185, viii, 56 p., https://doi.org/10.3133/sir20115185.","productDescription":"viii, 56 p.","numberOfPages":"68","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":111028,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5185/","linkFileType":{"id":5,"text":"html"}},{"id":116750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5185.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chokosna River;Gilahina River;Lakina River;Long Lake Watershed;Wrangell-st.Elias National Park And Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -146.83333333333334,59.166666666666664 ], [ -146.83333333333334,62.833333333333336 ], [ -137.83333333333334,62.833333333333336 ], [ -137.83333333333334,59.166666666666664 ], [ -146.83333333333334,59.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc8e2e4b08c986b32cb6e","contributors":{"authors":[{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":354047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ourso, Robert T. 0000-0002-5952-8681 rtourso@usgs.gov","orcid":"https://orcid.org/0000-0002-5952-8681","contributorId":203207,"corporation":false,"usgs":true,"family":"Ourso","given":"Robert","email":"rtourso@usgs.gov","middleInitial":"T.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":354049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brasher, Anne M. D. abrasher@usgs.gov","contributorId":1715,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne","email":"abrasher@usgs.gov","middleInitial":"M. D.","affiliations":[],"preferred":true,"id":354046,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70006138,"text":"sir20115176 - 2011 - Using observed postconstruction peak discharges to evaluate a hydrologic and hydraulic design model, Boneyard Creek, Champaign and Urbana, Illinois","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20115176","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5176","title":"Using observed postconstruction peak discharges to evaluate a hydrologic and hydraulic design model, Boneyard Creek, Champaign and Urbana, Illinois","docAbstract":"Boneyard Creek&mdash;which drains an urbanized watershed in the cities of Champaign and Urbana, Illinois, including part of the University of Illinois at Urbana-Champaign (UIUC) campus&mdash;has historically been prone to flooding. Using the Stormwater Management Model (SWMM), a hydrologic and hydraulic model of Boneyard Creek was developed for the design of the projects making up the first phase of a long-term plan for flood control on Boneyard Creek, and the construction of the projects was completed in May 2003. The U.S. Geological Survey, in cooperation with the Cities of Champaign and Urbana and UIUC, installed and operated stream and rain gages in order to obtain data for evaluation of the design-model simulations. In this study, design-model simulations were evaluated by using observed postconstruction precipitation and peak-discharge data.  Between May 2003 and September 2008, five high-flow events on Boneyard Creek satisfied the study criterion. The five events were simulated with the design model by using observed precipitation. The simulations were run with two different values of the parameter controlling the soil moisture at the beginning of the storms and two different ways of spatially distributing the precipitation, making a total of four simulation scenarios. The simulated and observed peak discharges and stages were compared at gaged locations along the Creek. The discharge at one of these locations was deemed to be critical for evaluating the design model. The uncertainty of the measured peak discharge was also estimated at the critical location with a method based on linear regression of the stage and discharge relation, an estimate of the uncertainty of the acoustic Doppler velocity meter measurements, and the uncertainty of the stage measurements.  For four of the five events, the simulated peak discharges lie within the 95-percent confidence interval of the observed peak discharges at the critical location; the fifth was just outside the upper end of this interval. For two of the four simulation scenarios, the simulation results for one event at the critical location were numerically unstable in the vicinity of the discharge peak. For the remaining scenarios, the simulated peak discharges over the five events at the critical location differ from the observed peak discharges (simulated minus observed) by an average of 7.7 and -1.5 percent, respectively. The simulated peak discharges over the four events for which all scenarios have numerically stable results at the critical location differs from the observed peak discharges (simulated minus observed) by an average of -6.8, 4.0, -5.4, and 1.5 percent, for the four scenarios, respectively. Overall, the discharge peaks simulated for this study at the critical location are approximately balanced between overprediction and underprediction and do not indicate significant model bias or inaccuracy. Additional comparisons were made by using peak stages at the critical location and two additional sites and using peak discharges at one additional site. These comparisons showed the same pattern of differences between observed and simulated values across events but varying biases depending on streamgage and measurement type (discharge or stage). Altogether, the results from this study show no clear evidence that the design model is significantly inaccurate or biased and, therefore, no clear evidence that the modeled flood-control projects in Champaign and on the University of Illinois campus have increased flood stages or discharges downstream in Urbana.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115176","collaboration":"Prepared in cooperation with the City of Champaign, Illinois, the City of Urbana, Illinois, and the University of Illinois at Urbana-Champaign","usgsCitation":"Over, T.M., Soong, D., and Holmes, R.R., 2011, Using observed postconstruction peak discharges to evaluate a hydrologic and hydraulic design model, Boneyard Creek, Champaign and Urbana, Illinois: U.S. Geological Survey Scientific Investigations Report 2011-5176, vi, 37 p., https://doi.org/10.3133/sir20115176.","productDescription":"vi, 37 p.","onlineOnly":"Y","temporalStart":"2003-05-01","temporalEnd":"2008-09-30","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":110983,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5176/","linkFileType":{"id":5,"text":"html"}},{"id":116683,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5176.jpg"}],"country":"United States","state":"Illinois","city":"Champaign-urbana","otherGeospatial":"Boneyard Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.26666666666667,40.08416666666667 ], [ -88.26666666666667,40.13333333333333 ], [ -88.18361111111112,40.13333333333333 ], [ -88.18361111111112,40.08416666666667 ], [ -88.26666666666667,40.08416666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602eae","contributors":{"authors":[{"text":"Over, Thomas M. 0000-0001-8280-4368 tmover@usgs.gov","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":1819,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"tmover@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":353919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":353917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003681,"text":"70003681 - 2011 - Model and parametric uncertainty in source-based kinematic models of earthquake ground motion","interactions":[],"lastModifiedDate":"2016-01-27T15:42:35","indexId":"70003681","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Model and parametric uncertainty in source-based kinematic models of earthquake ground motion","docAbstract":"<p>Four independent ground-motion simulation codes are used to model the strong ground motion for three earthquakes: 1994 <i>M<sub>w</sub></i> 6.7 Northridge, 1989 <i>M<sub>w</sub></i> 6.9 Loma Prieta, and 1999 <i>M<sub>w</sub></i> 7.5 Izmit. These 12 sets of synthetics are used to make estimates of the variability in ground-motion predictions. In addition, ground-motion predictions over a grid of sites are used to estimate parametric uncertainty for changes in rupture velocity. We find that the combined model uncertainty and random variability of the simulations is in the same range as the variability of regional empirical ground-motion data sets. The majority of the standard deviations lie between 0.5 and 0.7 natural-log units for response spectra and 0.5 and 0.8 for Fourier spectra. The estimate of model epistemic uncertainty, based on the different model predictions, lies between 0.2 and 0.4, which is about one-half of the estimates for the standard deviation of the combined model uncertainty and random variability. Parametric uncertainty, based on variation of just the average rupture velocity, is shown to be consistent in amplitude with previous estimates, showing percentage changes in ground motion from 50% to 300% when rupture velocity changes from 2.5 to 2.9 km/s. In addition, there is some evidence that mean biases can be reduced by averaging ground-motion estimates from different methods.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110028","usgsCitation":"Hartzell, S.H., Frankel, A., Liu, P., Zeng, Y., and Rahman, S., 2011, Model and parametric uncertainty in source-based kinematic models of earthquake ground motion: Bulletin of the Seismological Society of America, v. 101, no. 5, p. 2431-2452, https://doi.org/10.1785/0120110028.","productDescription":"22 p.","startPage":"2431","endPage":"2452","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":204444,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-26","publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60fe55","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":348307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frankel, Arthur","contributorId":103761,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","affiliations":[],"preferred":false,"id":348310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Pengcheng","contributorId":63522,"corporation":false,"usgs":true,"family":"Liu","given":"Pengcheng","email":"","affiliations":[],"preferred":false,"id":348308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zeng, Yuehua zeng@usgs.gov","contributorId":1623,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":348306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rahman, Shariftur","contributorId":82839,"corporation":false,"usgs":true,"family":"Rahman","given":"Shariftur","email":"","affiliations":[],"preferred":false,"id":348309,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70004910,"text":"70004910 - 2011 - Seroepidemiology of TmPV1 infection in captive and wild Florida manatees (Trichechus manatus latirostris)","interactions":[],"lastModifiedDate":"2021-05-17T16:30:23.483865","indexId":"70004910","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seroepidemiology of TmPV1 infection in captive and wild Florida manatees (<i>Trichechus manatus latirostris</i>)","title":"Seroepidemiology of TmPV1 infection in captive and wild Florida manatees (Trichechus manatus latirostris)","docAbstract":"In 1997, cutaneous papillomatosis caused by Florida manatee (<i>Trichechus manatus latirostris</i> [Tm]) papillomavirus 1 (TmPV1) was detected in seven captive manatees at the Homosassa Springs Wildlife State Park, Florida, USA, and, subsequently, in two wild manatees from the adjacent Homosassa River. Since then, papillomatosis has been reported in captive manatees housed in other locations, but not in wild animals. To determine TmPV1 antibody prevalence in captive and wild manatees sampled at various locations throughout Florida coastal regions, virus-like particles, composed of the L1 capsid protein of TmPV1, were generated with a baculovirus expression system and used to measure anti-TmPV1 antibodies in an enzyme-linked immunosorbent assay. Serologic analysis of 156 manatees revealed a TmPV1 antibody prevalence of 26.3%, with no significant difference between captive (<i>n</i>=39) and wild (<i>n</i>=117) manatees (28.2% and 25.6%, respectively). No antibody-positive wild animal showed PV-induced cutaneous lesions, whereas papillomatosis was observed in 72.7% of antibody-positive captive manatees. Our data indicate that Florida manatees living in the wild are naturally infected by TmPV1 but rarely show TmPV1-induced papillomatosis. Hence, it appears that the wild population would not be harmed in a case of contact with captive animals without visible lesions and productive infections, which could be thus released into the wild.","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-47.3.673","usgsCitation":"Dona, M.G., Rehtanz, M., Adimey, N.M., Bossart, G.D., Jenson, A.B., Bonde, R.K., and Ghim, S., 2011, Seroepidemiology of TmPV1 infection in captive and wild Florida manatees (Trichechus manatus latirostris): Journal of Wildlife Diseases, v. 47, no. 3, p. 673-684, https://doi.org/10.7589/0090-3558-47.3.673.","productDescription":"12 p.","startPage":"673","endPage":"684","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474858,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/0090-3558-47.3.673","text":"Publisher Index Page"},{"id":204186,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Homosassa River, Homosassa Springs Wildlife State Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.69958496093749,\n              28.601403015442155\n            ],\n            [\n              -82.33978271484375,\n              28.601403015442155\n            ],\n            [\n              -82.33978271484375,\n              28.878349647602047\n            ],\n            [\n              -82.69958496093749,\n              28.878349647602047\n            ],\n            [\n              -82.69958496093749,\n              28.601403015442155\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fee4b07f02db5f6cd2","contributors":{"authors":[{"text":"Dona, Maria Gabriella","contributorId":30344,"corporation":false,"usgs":true,"family":"Dona","given":"Maria","email":"","middleInitial":"Gabriella","affiliations":[],"preferred":false,"id":351655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rehtanz, Manuela","contributorId":92411,"corporation":false,"usgs":true,"family":"Rehtanz","given":"Manuela","email":"","affiliations":[],"preferred":false,"id":351659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adimey, Nicole M.","contributorId":26802,"corporation":false,"usgs":true,"family":"Adimey","given":"Nicole","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":351654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bossart, Gregory D.","contributorId":46678,"corporation":false,"usgs":true,"family":"Bossart","given":"Gregory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":351656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenson, Alfred B.","contributorId":63149,"corporation":false,"usgs":true,"family":"Jenson","given":"Alfred","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":351657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":351653,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ghim, Shin-je","contributorId":91230,"corporation":false,"usgs":true,"family":"Ghim","given":"Shin-je","email":"","affiliations":[],"preferred":false,"id":351658,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70003974,"text":"70003974 - 2011 - Spatial distribution and risk factors of highly pathogenic avian influenza (HPAI) H5N1 in China","interactions":[],"lastModifiedDate":"2016-08-24T15:07:23","indexId":"70003974","displayToPublicDate":"2011-12-01T18:29:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2981,"text":"PLoS Pathogens","active":true,"publicationSubtype":{"id":10}},"title":"Spatial distribution and risk factors of highly pathogenic avian influenza (HPAI) H5N1 in China","docAbstract":"Highly pathogenic avian influenza (HPAI) H5N1 was first encountered in 1996 in Guangdong province (China) and started spreading throughout Asia and the western Palearctic in 2004&ndash;2006. Compared to several other countries where the HPAI H5N1 distribution has been studied in some detail, little is known about the environmental correlates of the HPAI H5N1 distribution in China. HPAI H5N1 clinical disease outbreaks, and HPAI virus (HPAIV) H5N1 isolated from active risk-based surveillance sampling of domestic poultry (referred to as HPAIV H5N1 surveillance positives in this manuscript) were modeled separately using seven risk variables: chicken, domestic waterfowl population density, proportion of land covered by rice or surface water, cropping intensity, elevation, and human population density. We used bootstrapped logistic regression and boosted regression trees (BRT) with cross-validation to identify the weight of each variable, to assess the predictive power of the models, and to map the distribution of HPAI H5N1 risk. HPAI H5N1 clinical disease outbreak occurrence in domestic poultry was mainly associated with chicken density, human population density, and elevation. In contrast, HPAIV H5N1 infection identified by risk-based surveillance was associated with domestic waterfowl density, human population density, and the proportion of land covered by surface water. Both models had a high explanatory power (mean AUC ranging from 0.864 to 0.967). The map of HPAIV H5N1 risk distribution based on active surveillance data emphasized areas south of the Yangtze River, while the distribution of reported outbreak risk extended further North, where the density of poultry and humans is higher. We quantified the statistical association between HPAI H5N1 outbreak, HPAIV distribution and post-vaccination levels of seropositivity (percentage of effective post-vaccination seroconversion in vaccinated birds) and found that provinces with either outbreaks or HPAIV H5N1 surveillance positives in 2007&ndash;2009 appeared to have had lower antibody response to vaccination. The distribution of HPAI H5N1 risk in China appears more limited geographically than previously assessed, offering prospects for better targeted surveillance and control interventions.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.ppat.1001308","usgsCitation":"Martin, V., Pfeiffer, D.U., Zhou, X., Xiao, X., Prosser, D.J., Guo, F., and Gilbert, M., 2011, Spatial distribution and risk factors of highly pathogenic avian influenza (HPAI) H5N1 in China: PLoS Pathogens, v. 7, no. 3, e1001308; 11 p., https://doi.org/10.1371/journal.ppat.1001308.","productDescription":"e1001308; 11 p.","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474860,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.ppat.1001308","text":"Publisher Index Page"},{"id":204535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-03","publicationStatus":"PW","scienceBaseUri":"505b946ae4b08c986b31aa80","contributors":{"authors":[{"text":"Martin, Vincent","contributorId":92792,"corporation":false,"usgs":true,"family":"Martin","given":"Vincent","email":"","affiliations":[],"preferred":false,"id":349979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pfeiffer, Dirk U.","contributorId":100523,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"Dirk","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":349980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhou, Xiaoyan","contributorId":80813,"corporation":false,"usgs":true,"family":"Zhou","given":"Xiaoyan","email":"","affiliations":[],"preferred":false,"id":349978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiao, Xiangming","contributorId":67212,"corporation":false,"usgs":true,"family":"Xiao","given":"Xiangming","affiliations":[],"preferred":false,"id":349977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":349975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guo, Fusheng","contributorId":104209,"corporation":false,"usgs":true,"family":"Guo","given":"Fusheng","email":"","affiliations":[],"preferred":false,"id":349981,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gilbert, Marius","contributorId":61148,"corporation":false,"usgs":true,"family":"Gilbert","given":"Marius","email":"","affiliations":[],"preferred":false,"id":349976,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70006244,"text":"70006244 - 2011 - A GIS application for assessing, mapping, and quantifying the social values of ecosystem services","interactions":[],"lastModifiedDate":"2021-01-05T15:41:24.237711","indexId":"70006244","displayToPublicDate":"2011-12-01T14:44:39","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"A GIS application for assessing, mapping, and quantifying the social values of ecosystem services","docAbstract":"<p><span>As human pressures on ecosystems continue to increase, research involving the effective incorporation of social values information into the context of comprehensive ecosystem services assessments is becoming more important. Including quantified, spatially explicit social value metrics in such assessments will improve the analysis of relative tradeoffs among ecosystem services. This paper describes a GIS application,&nbsp;</span><i>So</i><span>cia</span><i>l V</i><span>alues for&nbsp;</span><i>E</i><span>cosystem&nbsp;</span><i>S</i><span>ervices (SolVES), developed to assess, map, and quantify the perceived social values of ecosystem services by deriving a non-monetary Value Index from responses to a public attitude and preference survey. SolVES calculates and maps the Value Index for social values held by various survey subgroups, as distinguished by their attitudes regarding ecosystem use. Index values can be compared within and among survey subgroups to explore the effect of social contexts on the valuation of ecosystem services. Index values can also be correlated and regressed against&nbsp;<a title=\"Learn more about Landscape Metrics from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/landscape-metrics\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/landscape-metrics\">landscape metrics</a>&nbsp;SolVES calculates from various environmental data layers. Coefficients derived through these analyses were applied to their corresponding data layers to generate a predicted social value map. This map compared favorably with other SolVES output and led to the addition of a predictive mapping function to SolVES for value transfer to areas where survey data are unavailable. A more robust application is being developed as a public domain tool for decision makers and researchers to map social values of ecosystem services and to facilitate discussions among diverse stakeholders involving relative tradeoffs among different ecosystem services in a variety of physical and social contexts.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, The Netherlands","doi":"10.1016/j.apgeog.2010.08.002","usgsCitation":"Sherrouse, B.C., Clement, J.M., and Semmens, D.J., 2011, A GIS application for assessing, mapping, and quantifying the social values of ecosystem services: Applied Geography, v. 31, no. 2, p. 748-760, https://doi.org/10.1016/j.apgeog.2010.08.002.","productDescription":"13 p.","startPage":"748","endPage":"760","numberOfPages":"13","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":204629,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e2dde4b0c8380cd45cc9","contributors":{"authors":[{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":354147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clement, Jessica M.","contributorId":86105,"corporation":false,"usgs":true,"family":"Clement","given":"Jessica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":354148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":354146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70006185,"text":"70006185 - 2011 - 3-D flow and scour near a submerged wing dike: ADCP measurements on the Missouri River","interactions":[],"lastModifiedDate":"2021-05-24T12:07:58.642002","indexId":"70006185","displayToPublicDate":"2011-12-01T14:33:30","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"3-D flow and scour near a submerged wing dike: ADCP measurements on the Missouri River","docAbstract":"<p><span>Detailed mapping of bathymetry and three-dimensional water velocities using a boat-mounted single-beam sonar and acoustic Doppler current profiler (ADCP) was carried out in the vicinity of two submerged wing dikes located in the Lower Missouri River near Columbia, Missouri. During high spring flows the wing dikes become submerged, creating a unique combination of vertical flow separation and overtopping (plunging) flow conditions, causing large-scale three-dimensional turbulent flow structures to form. On three different days and for a range of discharges, sampling transects at 5 and 20 m spacing were completed, covering the area adjacent to and upstream and downstream from two different wing dikes. The objectives of this research are to evaluate whether an ADCP can identify and measure large-scale flow features such as recirculating flow and vortex shedding that develop in the vicinity of a submerged wing dike; and whether or not moving-boat (single-transect) data are sufficient for resolving complex three-dimensional flow fields. Results indicate that spatial averaging from multiple nearby single transects may be more representative of an inherently complex (temporally and spatially variable) three-dimensional flow field than repeated single transects. Results also indicate a correspondence between the location of calculated vortex cores (resolved from the interpolated three-dimensional flow field) and the nearby scour holes, providing new insight into the connections between vertically oriented coherent structures and local scour, with the unique perspective of flow and morphology in a large river.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010WR010043","usgsCitation":"Jamieson, E.C., Rennie, C.D., Jacobson, R., and Townsend, R.D., 2011, 3-D flow and scour near a submerged wing dike: ADCP measurements on the Missouri River: Water Resources Research, v. 47, W07544, 20 p., https://doi.org/10.1029/2010WR010043.","productDescription":"W07544, 20 p.","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":474863,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr010043","text":"Publisher Index Page"},{"id":204632,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Columbia","otherGeospatial":"Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.70263671874999,\n              38.50948995925553\n            ],\n            [\n              -91.91162109375,\n              38.50948995925553\n            ],\n            [\n              -91.91162109375,\n              38.96795115401593\n            ],\n            [\n              -92.70263671874999,\n              38.96795115401593\n            ],\n            [\n              -92.70263671874999,\n              38.50948995925553\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2011-07-23","publicationStatus":"PW","scienceBaseUri":"5059e258e4b0c8380cd45ada","contributors":{"authors":[{"text":"Jamieson, E. C.","contributorId":97632,"corporation":false,"usgs":false,"family":"Jamieson","given":"E.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":354041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rennie, C. D.","contributorId":49927,"corporation":false,"usgs":false,"family":"Rennie","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":354038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobson, R. B. 0000-0002-8368-2064","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":92614,"corporation":false,"usgs":true,"family":"Jacobson","given":"R. B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":354040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Townsend, R. D.","contributorId":85328,"corporation":false,"usgs":false,"family":"Townsend","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":354039,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70006342,"text":"70006342 - 2011 - Accounting for non-independent detection when estimating abundance of organisms with a Bayesian approach","interactions":[],"lastModifiedDate":"2021-05-18T15:15:31.998461","indexId":"70006342","displayToPublicDate":"2011-12-01T14:24:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for non-independent detection when estimating abundance of organisms with a Bayesian approach","docAbstract":"<h2 id=\"d21617468\" class=\"article-section__header section__title main abstractlang_en main\">Summary</h2><div class=\"article-section__content en main\"><p><strong>1.</strong><span>&nbsp;</span>Binomial mixture models use repeated count data to estimate abundance. They are becoming increasingly popular because they provide a simple and cost‐effective way to account for imperfect detection. However, these models assume that individuals are detected independently of each other. This assumption may often be violated in the field. For instance, manatees (<i>Trichechus manatus latirostris</i>) may surface in turbid water (i.e. become available for detection during aerial surveys) in a correlated manner (i.e. in groups). However, correlated behaviour, affecting the non‐independence of individual detections, may also be relevant in other systems (e.g. correlated patterns of singing in birds and amphibians).</p><p><strong>2.</strong><span>&nbsp;</span>We extend binomial mixture models to account for correlated behaviour and therefore to account for non‐independent detection of individuals. We simulated correlated behaviour using beta‐binomial random variables. Our approach can be used to simultaneously estimate abundance, detection probability and a correlation parameter.</p><p><strong>3.</strong><span>&nbsp;</span>Fitting binomial mixture models to data that followed a beta‐binomial distribution resulted in an overestimation of abundance even for moderate levels of correlation. In contrast, the beta‐binomial mixture model performed considerably better in our simulation scenarios. We also present a goodness‐of‐fit procedure to evaluate the fit of beta‐binomial mixture models.</p><p><strong>4.</strong><span>&nbsp;</span>We illustrate our approach by fitting both binomial and beta‐binomial mixture models to aerial survey data of manatees in Florida. We found that the binomial mixture model did not fit the data, whereas there was no evidence of lack of fit for the beta‐binomial mixture model. This example helps illustrate the importance of using simulations and assessing goodness‐of‐fit when analysing ecological data with N‐mixture models. Indeed, both the simulations and the goodness‐of‐fit procedure highlighted the limitations of the standard binomial mixture model for aerial manatee surveys.</p><p><strong>5.</strong><span>&nbsp;</span>Overestimation of abundance by binomial mixture models owing to non‐independent detections is problematic for ecological studies, but also for conservation. For example, in the case of endangered species, it could lead to inappropriate management decisions, such as downlisting. These issues will be increasingly relevant as more ecologists apply flexible N‐mixture models to ecological data.</p></div>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.2041-210X.2011.00113.x","usgsCitation":"Martin, J., Royle, J., MacKenzie, D.I., Edwards, H.H., Kery, M., and Gardner, B., 2011, Accounting for non-independent detection when estimating abundance of organisms with a Bayesian approach: Methods in Ecology and Evolution, v. 2, no. 6, p. 595-601, https://doi.org/10.1111/j.2041-210X.2011.00113.x.","productDescription":"7 p.","startPage":"595","endPage":"601","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474865,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2011.00113.x","text":"Publisher Index Page"},{"id":204690,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-04-26","publicationStatus":"PW","scienceBaseUri":"5059e66ee4b0c8380cd47407","contributors":{"authors":[{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":354332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":354335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKenzie, Darryl I.","contributorId":94436,"corporation":false,"usgs":true,"family":"MacKenzie","given":"Darryl","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":354337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Holly H.","contributorId":66419,"corporation":false,"usgs":true,"family":"Edwards","given":"Holly","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":354334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kery, Marc","contributorId":38680,"corporation":false,"usgs":true,"family":"Kery","given":"Marc","affiliations":[],"preferred":false,"id":354333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":354336,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70136247,"text":"70136247 - 2011 - Global seabird responses to forage fish depletion - One-third for the birds","interactions":[],"lastModifiedDate":"2019-06-18T18:08:27","indexId":"70136247","displayToPublicDate":"2011-12-01T14:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Global seabird responses to forage fish depletion - One-third for the birds","docAbstract":"<p><span>Determining the form of key predator-prey relationships is critical for understanding marine ecosystem dynamics. Using a comprehensive global database, we quantified the effect of fluctuations in food abundance on seabird breeding success. We identified a threshold in prey (fish and krill, termed “forage fish”) abundance below which seabirds experience consistently reduced and more variable productivity. This response was common to all seven ecosystems and 14 bird species examined within the Atlantic, Pacific, and Southern Oceans. The threshold approximated one-third of the maximum prey biomass observed in long-term studies. This provides an indicator of the minimal forage fish biomass needed to sustain seabird productivity over the long term.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"New York, NY","doi":"10.1126/science.1212928","usgsCitation":"Cury, P.M., Boyd, I.L., Bonhommeau, S., Anker-Nilssen, T., Crawford, R.J., Furness, R.W., Mills, J.A., Murphy, E.J., Osterblom, H., Paleczny, M., Piatt, J.F., Roux, J., Shannon, L., and Sydeman, W., 2011, Global seabird responses to forage fish depletion - One-third for the birds: Science, v. 334, no. 6063, p. 1703-1706, https://doi.org/10.1126/science.1212928.","productDescription":"4 p.","startPage":"1703","endPage":"1706","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030650","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":474866,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archimer.ifremer.fr/doc/00056/16770/","text":"External Repository"},{"id":296936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"334","issue":"6063","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2bb3e4b08de9379b3490","contributors":{"authors":[{"text":"Cury, Philippe M.","contributorId":68986,"corporation":false,"usgs":false,"family":"Cury","given":"Philippe","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":537407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Ian L.","contributorId":10637,"corporation":false,"usgs":false,"family":"Boyd","given":"Ian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":537408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonhommeau, Sylvain","contributorId":8306,"corporation":false,"usgs":false,"family":"Bonhommeau","given":"Sylvain","email":"","affiliations":[],"preferred":false,"id":537409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anker-Nilssen, Tycho","contributorId":50375,"corporation":false,"usgs":false,"family":"Anker-Nilssen","given":"Tycho","email":"","affiliations":[],"preferred":false,"id":537410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crawford, Robert J.M.","contributorId":27700,"corporation":false,"usgs":false,"family":"Crawford","given":"Robert","email":"","middleInitial":"J.M.","affiliations":[],"preferred":false,"id":537411,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furness, Robert W.","contributorId":86588,"corporation":false,"usgs":false,"family":"Furness","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":12473,"text":"University of Glasgow","active":true,"usgs":false}],"preferred":false,"id":537412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mills, James A.","contributorId":32751,"corporation":false,"usgs":false,"family":"Mills","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":537413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murphy, Eugene J.","contributorId":80925,"corporation":false,"usgs":false,"family":"Murphy","given":"Eugene","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":537414,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Osterblom, Henrik","contributorId":16244,"corporation":false,"usgs":false,"family":"Osterblom","given":"Henrik","email":"","affiliations":[],"preferred":false,"id":537415,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Paleczny, Michelle","contributorId":35565,"corporation":false,"usgs":false,"family":"Paleczny","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":537416,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537249,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Roux, Jean-Paul","contributorId":47194,"corporation":false,"usgs":false,"family":"Roux","given":"Jean-Paul","email":"","affiliations":[],"preferred":false,"id":537417,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shannon, Lynne","contributorId":103896,"corporation":false,"usgs":false,"family":"Shannon","given":"Lynne","email":"","affiliations":[],"preferred":false,"id":537418,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sydeman, William J.","contributorId":172574,"corporation":false,"usgs":false,"family":"Sydeman","given":"William J.","affiliations":[],"preferred":false,"id":537419,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70043371,"text":"70043371 - 2011 - Quantifying the hydrological responses to climate change in an intact forested small watershed in southern China","interactions":[],"lastModifiedDate":"2013-07-23T10:37:55","indexId":"70043371","displayToPublicDate":"2011-12-01T10:29:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the hydrological responses to climate change in an intact forested small watershed in southern China","docAbstract":"Responses of hydrological processes to climate change are key components in the Intergovernmental Panel for Climate Change (IPCC) assessment. Understanding these responses is critical for developing appropriate mitigation and adaptation strategies for sustainable water resources management and protection of public safety. However, these responses are not well understood and little long-term evidence exists. Herein, we show how climate change, specifically increased air temperature and storm intensity, can affect soil moisture dynamics and hydrological variables based on both long-term observation and model simulations using the Soil and Water Assessment Tool (SWAT) in an intact forested watershed (the Dinghushan Biosphere Reserve) in Southern China. Our results show that, although total annual precipitation changed little from 1950 to 2009, soil moisture decreased significantly. A significant decline was also found in the monthly 7-day low flow from 2000 to 2009. However, the maximum daily streamflow in the wet season and unconfined groundwater tables have significantly increased during the same 10-year period. The significant decreasing trends on soil moisture and low flow variables suggest that the study watershed is moving towards drought-like condition. Our analysis indicates that the intensification of rainfall storms and the increasing number of annual no-rain days were responsible for the increasing chance of both droughts and floods. We conclude that climate change has indeed induced more extreme hydrological events (e.g. droughts and floods) in this watershed and perhaps other areas of Southern China. This study also demonstrated usefulness of our research methodology and its possible applications on quantifying the impacts of climate change on hydrology in any other watersheds where long-term data are available and human disturbance is negligible.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2486.2011.02499.x","usgsCitation":"Zhou, G., Wei, X., Wu, Y., Liu, S., Huang, Y., Yan, J., Zhang, D., Zhang, Q., Liu, J., Meng, Z., Wang, C., Chu, G., Liu, S., Tang, X., and Liu, X., 2011, Quantifying the hydrological responses to climate change in an intact forested small watershed in southern China: Global Change Biology, v. 17, no. 12, p. 3736-3746, https://doi.org/10.1111/j.1365-2486.2011.02499.x.","productDescription":"11 p.","startPage":"3736","endPage":"3746","numberOfPages":"11","ipdsId":"IP-030870","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":275275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275274,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2486.2011.02499.x"}],"country":"China","state":"Guangdong Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 109.6683,20.2211 ], [ 109.6683,25.5168 ], [ 117.3181,25.5168 ], [ 117.3181,20.2211 ], [ 109.6683,20.2211 ] ] ] } } ] }","volume":"17","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-08-02","publicationStatus":"PW","scienceBaseUri":"51efa5f6e4b0b09fbe58f1dc","contributors":{"authors":[{"text":"Zhou, Guo-Yi","contributorId":51181,"corporation":false,"usgs":true,"family":"Zhou","given":"Guo-Yi","email":"","affiliations":[],"preferred":false,"id":473484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wei, Xiaohua","contributorId":106775,"corporation":false,"usgs":true,"family":"Wei","given":"Xiaohua","email":"","affiliations":[],"preferred":false,"id":473492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huang, Yuhui","contributorId":87052,"corporation":false,"usgs":true,"family":"Huang","given":"Yuhui","email":"","affiliations":[],"preferred":false,"id":473489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yan, Junhua","contributorId":53271,"corporation":false,"usgs":true,"family":"Yan","given":"Junhua","email":"","affiliations":[],"preferred":false,"id":473485,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Deqiang","contributorId":59707,"corporation":false,"usgs":true,"family":"Zhang","given":"Deqiang","email":"","affiliations":[],"preferred":false,"id":473486,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Qianmei","contributorId":75045,"corporation":false,"usgs":true,"family":"Zhang","given":"Qianmei","email":"","affiliations":[],"preferred":false,"id":473487,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Juxiu","contributorId":43653,"corporation":false,"usgs":true,"family":"Liu","given":"Juxiu","email":"","affiliations":[],"preferred":false,"id":473482,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meng, Ze","contributorId":6745,"corporation":false,"usgs":true,"family":"Meng","given":"Ze","email":"","affiliations":[],"preferred":false,"id":473480,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wang, Chunlin","contributorId":38696,"corporation":false,"usgs":true,"family":"Wang","given":"Chunlin","email":"","affiliations":[],"preferred":false,"id":473481,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chu, Guowei","contributorId":92146,"corporation":false,"usgs":true,"family":"Chu","given":"Guowei","email":"","affiliations":[],"preferred":false,"id":473490,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Liu, Shizhong","contributorId":98198,"corporation":false,"usgs":true,"family":"Liu","given":"Shizhong","email":"","affiliations":[],"preferred":false,"id":473491,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tang, Xu-Li","contributorId":83820,"corporation":false,"usgs":true,"family":"Tang","given":"Xu-Li","email":"","affiliations":[],"preferred":false,"id":473488,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Liu, Xiaodong","contributorId":50804,"corporation":false,"usgs":true,"family":"Liu","given":"Xiaodong","email":"","affiliations":[],"preferred":false,"id":473483,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70032580,"text":"70032580 - 2011 - Northern goshawk monitoring in the western Great Lakes bioregion","interactions":[],"lastModifiedDate":"2021-02-04T16:25:42.23482","indexId":"70032580","displayToPublicDate":"2011-12-01T10:21:46","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Northern goshawk monitoring in the western Great Lakes bioregion","docAbstract":"<p><span>Uncertainties about factors affecting Northern Goshawk (</span><span class=\"genus-species\">Accipiter gentilis</span><span>) ecology and the status of populations have added to the challenge of managing this species. To address data needs for determining the status of goshawk populations,&nbsp;</span><a class=\"internal-link\" href=\"https://bioone.org/journals/journal-of-raptor-research/volume-45/issue-4/JRR-10-52.1/Northern-Goshawk-Monitoring-In-the-Western-Great-Lakes-Bioregion/10.3356/JRR-10-52.1.full#i0892-1016-45-4-290-Hargis1\" data-mce-href=\"https://bioone.org/journals/journal-of-raptor-research/volume-45/issue-4/JRR-10-52.1/Northern-Goshawk-Monitoring-In-the-Western-Great-Lakes-Bioregion/10.3356/JRR-10-52.1.full#i0892-1016-45-4-290-Hargis1\">Hargis and Woodbridge (2006)</a><span>&nbsp;developed a bioregional monitoring protocol based on estimating occupancy. The goal of our study was to implement this protocol and collect data to determine goshawk population status in the western Great Lakes (WGL) bioregion, which encompasses portions of Minnesota, Wisconsin, and Michigan, and is a mixture of private and public property. We used 366 goshawk nest locations obtained between 1979 and 2006 throughout the WGL bioregion to develop a model of landscape use consisting of forest canopy cover and land-cover covariates. We then used the model to develop a stratified sampling design for selecting 600-ha Primary Sampling Units (PSUs) to survey for goshawks. Project collaborators surveyed 86 PSUs for goshawk presence using broadcasted calls twice between mid-May and mid-August 2008, and recorded 30 goshawk detections in 21 different PSUs. Seventy-four percent of detections occurred at call stations with canopy closure &gt;75%. Goshawk detection probabilities were 0.549 ± 0.118 (standard error) for the first visit to PSUs and 0.750 ± 0.126 for the second visit. We estimated the proportion of PSUs occupied by goshawks as 0.266 ± 0.047, which corresponded to 5184 ± 914 PSUs occupied by goshawks in our study area and suggested that goshawks are widely, but sparsely, distributed throughout the WGL bioregion.</span></p>","language":"English","publisher":"BioOne","doi":"10.3356/JRR-10-52.1","usgsCitation":"Bruggeman, J.E., Andersen, D., and Woodford, J.E., 2011, Northern goshawk monitoring in the western Great Lakes bioregion: Journal of Raptor Research, v. 45, no. 4, p. 290-303, https://doi.org/10.3356/JRR-10-52.1.","productDescription":"14 p.","startPage":"290","endPage":"303","ipdsId":"IP-013257","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-10-52.1","text":"Publisher Index Page"},{"id":382955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.14111328125,\n              42.633958722673135\n            ],\n            [\n              -83.60595703125,\n              42.633958722673135\n            ],\n            [\n              -83.60595703125,\n              48.96579381461063\n            ],\n            [\n              -97.14111328125,\n              48.96579381461063\n            ],\n            [\n              -97.14111328125,\n              42.633958722673135\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a683ee4b0c8380cd736c7","contributors":{"authors":[{"text":"Bruggeman, Jason E.","contributorId":18983,"corporation":false,"usgs":false,"family":"Bruggeman","given":"Jason","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":809834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":708016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodford, James E.","contributorId":60865,"corporation":false,"usgs":false,"family":"Woodford","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":809835,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004875,"text":"70004875 - 2011 - Spatial patch occupancy patterns of the Lower Keys marsh rabbit","interactions":[],"lastModifiedDate":"2021-05-17T16:41:31.094088","indexId":"70004875","displayToPublicDate":"2011-12-01T09:47:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patch occupancy patterns of the Lower Keys marsh rabbit","docAbstract":"Reliable estimates of presence or absence of a species can provide substantial information on management questions related to distribution and habitat use but should incorporate the probability of detection to reduce bias. We surveyed for the endangered Lower Keys marsh rabbit (<i>Sylvilagus palustris hefneri</i>) in habitat patches on 5 Florida Key islands, USA, to estimate occupancy and detection probabilities. We derived detection probabilities using spatial replication of plots and evaluated hypotheses that patch location (coastal or interior) and patch size influence occupancy and detection. Results demonstrate that detection probability, given rabbits were present, was <0.5 and suggest that na&#239;ve estimates (i.e., estimates without consideration of imperfect detection) of patch occupancy are negatively biased. We found that patch size and location influenced probability of occupancy but not detection. Our findings will be used by Refuge managers to evaluate population trends of Lower Keys marsh rabbits from historical data and to guide management decisions for species recovery. The sampling and analytical methods we used may be useful for researchers and managers of other endangered lagomorphs and cryptic or fossorial animals occupying diverse habitats.","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/jwmg.152","usgsCitation":"Eaton, M., Hughes, P.T., Nichols, J., Morkill, A., and Anderson, C., 2011, Spatial patch occupancy patterns of the Lower Keys marsh rabbit: Journal of Wildlife Management, v. 75, no. 5, p. 1186-1193, https://doi.org/10.1002/jwmg.152.","productDescription":"8 p.","startPage":"1186","endPage":"1193","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204312,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.21505737304688,\n              24.671978191593258\n            ],\n            [\n              -81.22055053710938,\n              24.79483832122786\n            ],\n            [\n              -81.49658203125,\n              24.819146481739068\n            ],\n            [\n              -81.71356201171875,\n              24.696934226366672\n            ],\n            [\n              -81.82617187499999,\n              24.568357320106585\n            ],\n            [\n              -81.80145263671875,\n              24.53712939907993\n            ],\n            [\n              -81.573486328125,\n              24.574601971051052\n            ],\n            [\n              -81.24526977539062,\n              24.649513490158643\n            ],\n            [\n              -81.21505737304688,\n              24.671978191593258\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-05-04","publicationStatus":"PW","scienceBaseUri":"505b9490e4b08c986b31ab7d","contributors":{"authors":[{"text":"Eaton, Mitchell J.","contributorId":71308,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[],"preferred":false,"id":351559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, Phillip T.","contributorId":68874,"corporation":false,"usgs":true,"family":"Hughes","given":"Phillip","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":351558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":351555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morkill, Anne","contributorId":36671,"corporation":false,"usgs":true,"family":"Morkill","given":"Anne","email":"","affiliations":[],"preferred":false,"id":351556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Chad","contributorId":39110,"corporation":false,"usgs":true,"family":"Anderson","given":"Chad","affiliations":[],"preferred":false,"id":351557,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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